| | --- |
| | tags: |
| | - trl |
| | - dpo |
| | - generated_from_trainer |
| | model-index: |
| | - name: dpo-selective-buffer-spo-shift |
| | results: [] |
| | --- |
| | |
| | <!-- This model card has been generated automatically according to the information the Trainer had access to. You |
| | should probably proofread and complete it, then remove this comment. --> |
| |
|
| | # dpo-selective-buffer-spo-shift |
| |
|
| | This model was trained from scratch on the None dataset. |
| | It achieves the following results on the evaluation set: |
| | - Loss: 0.6777 |
| | - Rewards/chosen: -0.1371 |
| | - Rewards/rejected: -0.0830 |
| | - Rewards/accuracies: 0.4693 |
| | - Rewards/margins: -0.0541 |
| | - Rewards/safe Rewards: -0.1332 |
| | - Rewards/unsafe Rewards: -0.1263 |
| | - Logps/rejected: -92.4348 |
| | - Logps/chosen: -131.0029 |
| | - Logits/rejected: -1.8308 |
| | - Logits/chosen: -2.0825 |
| |
|
| | ## Model description |
| |
|
| | More information needed |
| |
|
| | ## Intended uses & limitations |
| |
|
| | More information needed |
| |
|
| | ## Training and evaluation data |
| |
|
| | More information needed |
| |
|
| | ## Training procedure |
| |
|
| | ### Training hyperparameters |
| |
|
| | The following hyperparameters were used during training: |
| | - learning_rate: 5e-07 |
| | - train_batch_size: 2 |
| | - eval_batch_size: 8 |
| | - seed: 42 |
| | - distributed_type: multi-GPU |
| | - num_devices: 2 |
| | - gradient_accumulation_steps: 8 |
| | - total_train_batch_size: 32 |
| | - total_eval_batch_size: 16 |
| | - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
| | - lr_scheduler_type: cosine |
| | - lr_scheduler_warmup_ratio: 0.1 |
| | - num_epochs: 1 |
| | |
| | ### Training results |
| | |
| | | Training Loss | Epoch | Step | Validation Loss | Rewards/chosen | Rewards/rejected | Rewards/accuracies | Rewards/margins | Rewards/safe Rewards | Rewards/unsafe Rewards | Logps/rejected | Logps/chosen | Logits/rejected | Logits/chosen | |
| | |:-------------:|:-----:|:----:|:---------------:|:--------------:|:----------------:|:------------------:|:---------------:|:--------------------:|:----------------------:|:--------------:|:------------:|:---------------:|:-------------:| |
| | | 131.6857 | 0.27 | 500 | 0.8894 | -0.1023 | -0.0129 | 0.4546 | -0.0893 | -0.1043 | -0.1017 | -92.3648 | -130.9681 | -1.8032 | -2.0565 | |
| | | 34.7958 | 0.54 | 1000 | 0.7397 | -0.1263 | -0.1290 | 0.5028 | 0.0026 | -0.1237 | -0.1264 | -92.4809 | -130.9922 | -1.7990 | -2.0551 | |
| | | 15.9924 | 0.81 | 1500 | 0.6823 | -0.1578 | -0.1077 | 0.4713 | -0.0501 | -0.1557 | -0.1535 | -92.4596 | -131.0237 | -1.8335 | -2.0849 | |
| | |
| | |
| | ### Framework versions |
| | |
| | - Transformers 4.36.2 |
| | - Pytorch 2.1.2 |
| | - Datasets 2.14.6 |
| | - Tokenizers 0.15.2 |
| | |
